Abstract

This article compares top-down and bottom-up methods for obtaining regional projections for policy analysis using computable general equilibrium models. In view of the computing and data problems of bottom-up, multisectoral models, a hybrid approach is proposed in which a partially regionalized computable general equilibrium model is used to drive a top-down regional equation system. The hybrid avoids some of the serious theoretical shortcomings of the top-down approach but is much less data demanding than a complete bottom-up model. An application, based on the ORANI computable general equilibrium model of Australia, is presented with comparative top-down and hybrid results.

More about this item

Statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:inrsre:v:11:y:1988:i:3:p:317-328. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications). General contact details of provider: .

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through
the various RePEc services.